• Culinary science and hospitality research
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• v.6 no.3
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• pp.373-389
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• 2000

This study is about job change hotel kitchen cook. addition, through case analysis, by choosing three hotels in Seoul, the relation job changes was found out, and through the interviews with cooking employees for more than three months, their opinions and reliabilities were collected and analyzed. The surveyed questionnaires were analyzed and studied through SPSS WIN Package, reliability analysis, factor analysis, frequency analysis, correlation, and distribution analysis and T-test were conducted to figure out the population statistical difference. According to the study results. those employees who thought kitchen environment, internal and external working conditions. the welfare for the employees are the most important factors in case of changing jobs scored over average 4 in the statistical analysis. For this reason, in order to reduce the rate of job changes the hotels efforts for and interests in appropriate compensation, improvement of working environment. continuous educational training, fair human resource management, and maintenance of good relation with co-workers are necessary.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.55-64
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• 2009

The purpose of this study is to investigate the relative effects of father's parenting behavior, parenting stress and knowledge on bringing up children on his parenting self-efficacy. Two hundred and seventy fathers with children under the age of seven participated in this study. Fathers showed a lower level of parenting stress and a higher level of knowledge on child rearing. A higher level of parenting self-efficacy was observed in fathers who have good jobs. The factors of father's parenting behavior, parenting stress and knowledge on rearing children were significant variables in predicting his parenting self-efficacy. A factor of knowledge on child rearing was the best predictor of father's parenting self-efficacy.

• Korean Management Science Review
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• v.17 no.1
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• pp.41-54
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• 2000

in the real world situations that some jobs need be processed only on certain limited machines frequently occur due to the capacity restrictions of machines such as tools fixtures or material handling equipment. In this paper we consider n-job non-preemptive and m parallel machines scheduling problem having two machines group. The objective function is to minimize the sum of earliness and tardiness with different release times and due dates. The problem is formulated as a mixed integer programming problem. The problem is proved to be Np-complete. Thus a heuristic is developed to solve this problem. To illustrate its suitability and efficiency a proposed heuristic is compared with a genetic algorithm and tabu search for a large number of randomly generated test problems in ship engine assembly shop. Through the experimental results it is showed that the proposed algorithm yields good solutions efficiently.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.307-309
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• 1996

This paper analyses a deterministic scheduling problem concerned with manufacturing two types of components at a pre-assembly stage which consists of two independent feeding machines each producing its own type of component. Each type represents a unique component which may have variations in its size or quality. Therefore, the completion time of each component depends on both its type and quality (size) variations. Such manufactured components are subsequently assembled into various component dependent products. The problem has the objective measure of minimizing the total weighted completion time of a finite number of jobs(products) where the completion time of each job is measured by the latest completion time of its two components at the pre-assembly stage. The problem is shown to be NP-complete in the strong sense. A WSPT rule coupled with a machine-aggregation idea is developed for good heuristics which show the error bound of 2.

• Industrial Engineering and Management Systems
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• v.6 no.2
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• pp.119-124
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• 2007

The most difficult and time-intensive issue in the successful implementation of genetic algorithms is to find good parameter setting, one of the most popular subjects of current research in genetic algorithms. In this study, we present a new efficient experimental design method for parameter optimization in a genetic algorithm for general job shop scheduling problem using the Taguchi method. Four genetic parameters including the population size, the crossover rate, the mutation rate, and the stopping condition are treated as design factors. For the performance characteristic, makespan is adopted. The number of jobs, the number of operations required to be processed in each job, and the number of machines are considered as noise factors in generating various job shop environments. A robust design experiment with inner and outer orthogonal arrays is conducted by computer simulation, and the optimal parameter setting is presented which consists of a combination of the level of each design factor. The validity of the optimal parameter setting is investigated by comparing its SN ratios with those obtained by an experiment with full factorial designs.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1179-1193
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• 2010

For a good design, it is important to understand consumers and trend of textile and fashion design. Previous researches on textile pattern design with CAD have been done. They have studied on Korean traditional floral motives/hand painting or some geometric patterns. Few studies have been done on conversational design. Therefore the purpose of study was to observe types of textile pattern design for the recent fiver years and determine fabric pattern trends, especially on the conversational motifs. The types of patterns were analysed with professional panels from the 2005～2009 collection sources, using SPSS program. This study was also develop textile patterns creating using CAD. We conducted design process on motif creating, repeat, and mapping jobs, using textile special design program Prima vision and Photoshop CS3.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.2
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• pp.183-192
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• 2000

This paper considers the problem of scheduling a set of n jobs on m parallel machines to minimize total weighted tardiness. For the problem a genetic algorithm is proposed, in which solutions are encoded using the random key method suggested by Bean and new crossover operators are employed to increase performance of the algorithm. The algorithm is compared with the Modified Due-Date (MDD) algorithm after series of tests to find appropriate values for genetic parameters. Results of computational tests on randomly generated test problems show that the suggested algorithm performs better than the MDD algorithm and gives good solutions in a reasonable amount of computation time.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.403-413
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• 2004

The purpose of this study was to investigate to wearing practices and consumer needs for stockings. 503 subjects were surveyed in 2002. Data were analyzed by frequency, $\chi$$^2$, ANONA(LSD) and factor analysis. The results were as follows; 1) Many subjects considered the colors, but a very few of them considered the components and handling signs when purchase their stockings. These tendencies show meaningful differences according to their ages, jobs and the status of whether they are married or single. The wearing rates of stockings show differences according to their physical characteristics and social demographical variables. 2) They demand that the exact fiber contents and the mixture ratios which the stockings have should be indicated, and also want the sizes of the stockings to be indicated by three steps according to their body sizes, and they ask that the stockings have more various colors. They required that the stockings should have good ventilation, durability, warmth-keeping, hygroscopicity and elasticity in leg parts, and anti static electricity or bacteria.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.05a
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• pp.746-751
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• 2002

This purpose of this study was to design the effect of recovering of a hand amputees by myoelectronic hand. It was designed with 2 degree of freedom in tile laboratory. Myoelectronic hand had only one degree of freedom and one movement until now. Also this myoelectronic hand had multi-joint system. Myoelectronic hand data was obtained by measuring hand and data was applied when it was designed myoelectronic hand. PID controll of myoelectronic hand was used to it. Displacement control was applied the first link of finger. Experiment was accomlkished in Tip grasp, power grasp and Hook grasp modes. Displacement controll was good in low frequency. Velocity control was applied to each mode. This myoelectronic hand with a hand amputees could do some jobs such as grasping materials. Further studies were needed to evaluate the effect of a myoelectronic hand with more precise laboratory equipment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.1
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• pp.115-121
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• 2007

In this paper, we study flowshop scheduling problems with availability constraints. In such problems, n jobs have to be scheduled on m machines sequentially under assumption that the machines are unavailable during some periods of planning horizon. The objective of the problem is to find a non-permutation schedule which minimizes the makespan. As a solution procedure, we propose an improved genetic algorithm which utilizes a look-ahead schedule generator to find good solutions in a reasonable time Computational experiments show that the proposed genetic algorithm outperforms the existing genetic algorithm.